Monthly Archives: January 2012
Classifying Types of Data Management Issues
Coincidentally, my company is involved with a number of different customers who are reviewing the quality criteria associated with addresses. Each scenario has different motivations for assessing address data quality. One use case focuses on administrative management – ensuring that things that need to happen at a particular location have an accurate and valid address. A different use case considers one aspect of regulatory compliance regarding protection of private information (since mail delivered to the wrong address is a potential exposure of the private information contained within the envelope). Another compliance use case looks at timely delivery of hard copy notifications as part of a legal process, requiring the correct address. (more…)
Ultra Messaging: Carrying the Load for Financial Exchanges
In a recent post: Remove the Restrictor Plate with High Performance Load Balancing, my colleague Jeff Brokaw compared the high performance architecture of Informatica Ultra Messaging to the removal of the carburetor restrictor plate on a NASCAR racing engine to increase airflow and speed. Ultra Messaging has removed the “restrictor plate” in that it provides direct peer-to-peer communication between applications with no intermediary brokers – thereby delivering extremely high and sustained throughput rates at low latencies. (more…)
CEP: Proactive Monitoring, Proactive Compliance and Customer Engagement
In the second of two videos, Scott Fingerhut, senior director of product marketing for CEP at Informatica, talks about how Complex Event Processing (CEP) can be applied: proactive monitoring, proactive compliance and customer engagement.
Learn more about CEP in Scott’s first video: http://www.youtube.com/watch?v=AUmveP07Ea8.
Lean Data Warehouse – Clean Up The Waste
Many years ago (over 30 to be precise) I can recall walking the halls of more than one fortune 500 company and seeing four-foot high stacks of boxes with computer printouts in the hallway outside of managers’ offices. In fact it was not uncommon to see pallet-loads of computer printouts in some companies. When I asked one manager what the reports were and why they had so many, he said “we don’t look at the reports any more but we don’t know how to get the data center to stop sending them.” (more…)
ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program
Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?
In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):
- BI hasn’t fully empowered information workers, who still largely depend on IT
- BI platforms, tools and applications aren’t agile enough (more…)
How Do You Handle the Recent Storage Shortage?
Gartner hosted a webinar on January 10, 2012: Gartner Worldwide IT Spending Forecast. One of the topics covered was industry IT spend for 2012.
In covering that topic they made a point of saying that due to severe flooding in Thailand, they expect storage to become in short supply (as much as a 29% global shortfall) through the end of 2012. It is expected that the price of storage/GB will increase as a result and supplies will fall short of demand. They recommended finding alternatives to purchasing storage to keep costs down. (more…)
What it Takes to Be a Leader in Data Virtualization!
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)
Validating Data for Production Environments
The BBC published a news story where a teacher in India looked at his bank account expecting to see a balance of $200 only to find that the balance shown was $9.8 billion (480 billion rupees). Imagine that surprise!
These types of stories appear in the news on a regular basis, and the question they raise is this: How could an error of this magnitude have happened and what could have been done to prevent it? (more…)
Informatica Positioned in the Recent Gartner Magic Quadrant for MDM
Gartner recently published its annual Magic Quadrant for Master Data Management of Customer Data Solutions, which “positions MDM of customer data solution vendors (and their products) on the basis of their Completeness of Vision relative to the market and their Ability to Execute on that vision.” The growth of MDM market has been phenomenal – $1.6 billion in 2011, a growth of 21% from 2010, and projected to grow by the same rate to $1.9 billion in 2012. (more…)
Reading The Tea Leaves: Predictions For Data Quality In 2012
Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned in my previous post, we saw continued interest in data quality across all industries and I expect that trend to only continue to pick up steam in 2012. Here are three areas in particular that I foresee will rise to the surface: (more…)
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